Evidence map›Paper›PMID 31881028›Full record

ArticlePloS one2019

Objective sleep assessment in >80,000 UK mid-life adults: Associations with sociodemographic characteristics, physical activity and caffeine.

Gewei Zhu, Michael Catt, Sophie Cassidy, Mark Birch-Machin, Michael Trenell, Hugo Hiden, Simon Woodman, Kirstie N Anderson

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Socioeconomic status and sleep health: a narrative synthesis of 3 decades of empirical research.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gewei ZhuFaculty of Medical Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Michael CattNational Innovation Centre for Ageing, Time Central, Newcastle Upon Tyne, United Kingdom.
Sophie CassidyFaculty of Medical Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Mark Birch-MachinFaculty of Medical Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Michael TrenellNIHR Innovation Observatory, Gallowgate, Newcastle Upon Tyne, United Kingdom.
Hugo HidenNational Innovation Centre for Data, School of Computing, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Simon WoodmanNational Innovation Centre for Data, School of Computing, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Kirstie N AndersonDepartment of Neurology, Royal Victoria Infirmary, Newcastle Upon Tyne, United Kingdom.ORCID 0000-0001-5767-918X

Funding

Medical Research Council MC_PC_12028Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

STUDY

objectivesNormal timing and duration of sleep is vital for all physical and mental health. However, many sleep-related studies depend on self-reported sleep measurements, which have limitations. This study aims to investigate the association of physical activity and sociodemographic characteristics including age, gender, coffee intake and social status with objective sleep measurements.

methodsA cross-sectional analysis was carried out on 82995 participants within the UK Biobank cohort. Sociodemographic and lifestyle information were collected through touch-screen questionnaires in 2007-2010. Sleep and physical activity parameters were later measured objectively using wrist-worn accelerometers in 2013-2015 (participants were aged 43-79 years and wore watches for 7 days). Participants were divided into 5 groups based on their objective sleep duration per night (<5 hours, 5-6 hours, 6-7 hours, 7-8 hours and >8 hours). Binary logistic models were adjusted for age, gender and Townsend Deprivation Index.

resultsParticipants who slept 6-7 hours/night were the most frequent (33.5%). Females had longer objective sleep duration than males. Short objective sleep duration (<6 hours) correlated with older age, social deprivation and high coffee intake. Finally, those who slept 6-7 hours/night were most physically active.

conclusionsObjectively determined short sleep duration was associated with male gender, older age, low social status and high coffee intake. An inverse 'U-shaped' relationship between sleep duration and physical activity was also established. Optimal sleep duration for health in those over 60 may therefore be shorter than younger groups.

Indexed as

AccelerometryAdultAgedCaffeineCross-Sectional StudiesExerciseFemaleFitness TrackersHumansLife StyleLogistic ModelsMaleMiddle AgedSelf ReportSleepUnited KingdomCaffeine

Identifiers

PMID31881028
PMCPMC6934314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.